# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "MultiModalR" in publications use:'
type: software
license: MIT
title: 'MultiModalR: Fast Bayesian Probability Estimation for Multimodal Categorical
  Data'
version: 1.0.0
doi: 10.32614/CRAN.package.MultiModalR
abstract: Fast Bayesian probability estimation for multimodal categorical data using
  speed-optimized MCMC implementation (Metropolis-Hastings-within-partial-Gibbs).
  The package provides efficient algorithms for detecting subpopulations, estimating
  mixture components, and assigning observations to subgroups with probability estimates.
authors:
- family-names: Dioszegi
  given-names: Gergo
  email: dijogergo@gmail.com
repository: https://dijog.r-universe.dev
repository-code: https://github.com/DijoG/MultiModalR
commit: d235608b9f70128dab5382cce870baa9b7892b09
url: https://github.com/DijoG/MultiModalR
date-released: '2026-06-18'
contact:
- family-names: Dioszegi
  given-names: Gergo
  email: dijogergo@gmail.com